Features of modern dust activity and long range transport of dust from Patagonia based on satellite and surface observations

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Amos Scott
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1 Features of modern dust activity and long range transport of dust from Patagonia based on satellite and surface observations Santiago Gassó University of Maryland Baltimore County and NASA Meeting at Lamont, May Ariel Stein (NOAA,USA) Diego Gaiero (U of Cordoba, Argentina) Nicholas Meskhidze, Matthew Johnson (North Carolina State U, USA) Federica Marino, Emiliano Castellano, Roberto Udisti (U of Florence, Italy) Rolf Weller (AWI, Germany)

2 Objectives of this talk What does a satellite guy have in common with a paleoclimatologist? Illustrate modern dust activity in Southern South America (particularly Patagonia) Point what we can say about modern dust activity with existing observing and modeling tools Point out some features (how often, how much, where it goes) Datasets useful for this group

3 There is recent unexplained dust deposition in Antarctica Recent Dust deposition, last 100 years (J. Ross Island) McConnell et al., 2007

4 There is recent unexplained dust deposition in Antarctica Recent Dust deposition, last 100 years (J. Ross Island) McConnell et al., 2007 Satellite era time frame

5 There is recent unexplained dust deposition in Antarctica Recent Dust deposition, last 100 years (J. Ross Island) McConnell et al., 2007 Satellite era time frame Deposition in Concordia More Datasets are becoming available that can be used for detailed studies! Data by Station Concordia Project at Dome C University of Florence. Udisti et al., Chemical composition and seasonal pattern of all-year-round size-segregated aerosol at Dome C, East Antarctica. In preparation.

6 A brief description of Southern South America dust activity. Can you guess where these images are from?

7 Modern Dust Activity in Southern South America is comparable to other arid regions Melbourne, Australia Arizona Desert Punta Alta, Argentina (northern Patagonia)

8 Two Regions under different dynamical regimes Region 1: Dominated by the strong winds from permanent low pressure belt Source Region is the Patagonia Desert L L L L Delivery to Antarctica is determined by the location of the different Low pressure systems

9 Two Source Regions under different dynamical regimes Region 2: Transport is dominated by the Low Level Jet and Low Pressure systems of the S. Atlantic Two source regions: Bolivia (Salar de Uyuni) Chile (Atacama) Argentina Altiplano Need Winds from the Pacific L L Central Argentina : becoming increasingly active due to anthropogenic activity

10 Monitoring Dust Activity in Patagonia: A Typical Satellite View Dust activity is accompanied by abundant cloudiness resulting in very difficult conditions for automatic dust detection from satellite

11 Dust Sources are active through the extent of Patagonia Dust Two sources actives on the same day!, separated by more than km Dust sources span the whole length of the desert

12 On the sources Most of degradation is anthropogenic in northern Patagonia

13 Playas, Dry lakes and Coastal Sources are major contributors

14 Example of a Major Storm (March/09) Morning Satellite pass AM image Strong winds favors rapid transport (24hrs ~1000 km from coast) Timid start in the AM

15 Example of a Major Storm (March/09) Afternoon Satellite pass PM image By the afternoon, it became a major dust storm, spanning a +700km front and lasted ~30hrs Weekly P an Wind Speed +70 mph gusts 30 mb drop

16 Existing Tools that I use to evaluate current dust activity and transport Visibility: surface observations at airports (~10 in Patagonia). Data available since the 50 s although the better quality of data starts in the 90s. Satellite : since the 80s (TOMS) but the really good satellite imagery starts in early 2000s These observations are complemented by using the HYSPLIT aerosol dispersion model.

Visibility: Take home bits Highly variable from year to year activity from Bahía Blanca (38S) to Río Grande (53S) (+ 2000 km front) Events tend to last a few hours a day

17 Visibility: Take home bits Highly variable from year to year activity from Bahía Blanca (38S) to Río Grande (53S) ( km front) Events tend to last a few hours a day (rarely they span more than 24 hrs) -- very difficult to monitor with satellites. Visibility does not capture all dust activity in Patagonia due to spacing between stations.

18 Satellites: what can and cannot tells us? In addition to source detection and tracking of the aerosol, it can: Derive aerosol concentration in the column (aerosol optical depth) Aerosol type present: Dust? Smoke? Pollution? (aerosol sphericity, aerosol absorption) Aerosol size (accumulation or coarse mode dominated) Aerosol height (lidar)

19 Satellites: what can and cannot tells us? In addition to source detection and tracking of the aerosol, it can: Derive aerosol concentration in the column (aerosol optical depth) Aerosol type present: Dust? Smoke? Pollution? (aerosol sphericity, aerosol absorption) Aerosol size (accumulation or coarse mode dominated) Aerosol height (lidar) It cannot, for example, Measure deposition See aerosol under clouds Not reliable at low aerosol concentrations.

20 Typical scene with aerosols over the SO These are aerosols but what kind? Example of Aerosol Optical Depth Retrieval from the MODIS satellite.

21 How these tools help to characterize dust transport? Is Patagonia the source of dust recently observed in Antarctica? Deposition in Concordia a 24 hour filter exposure Data by Station Concordia Project at Dome C University of Florence. Udisti et al., Chemical composition and seasonal pattern of all-year-round size-segregated aerosol at Dome C, East Antarctica. In preparation.

22 A dust event in Tierra del Fuego 10 days earlier injects dust in the BL (model and satellite agree) MODIS detects dust reaching Malvinas Lidar Confirms BL dust. Model also places dust in the same place and height

23 The day after: where s the dust? MODIS provides good spatial coverage but no aerosol differentiation. What is dust and what is sea-salt? AOT ~

24 The day after: where s the dust? MODIS provides good spatial coverage but no aerosol differentiation. What is dust and what is sea-salt? Addition of Model information helps to look for possible areas

25 The day after: where s the dust? MISR detects a non-spherical aerosol in same area and agreeing with model and MODIS Positive identification occurs when merging the 3 sources of information

26 What about after 48hrs of emission? There is no conclusive satellite evidence of the pathways to Antarctica in this case study. However, it is likely the dust reached SW of S. Africa (in agreement w/model simulations).

27 What about after 48hrs of emission? There is no conclusive satellite evidence of the pathways to Antarctica in this case study. However, it is likely the dust reached SW of S. Africa (in agreement w/model simulations). So, in this case did the dust reach Dome C?

28 What about after 48hrs of emission? There is no conclusive satellite evidence of the pathways to Antarctica in this case study. However, it is likely the dust reached SW of S. Africa (in agreement w/model simulations). So, in this case did the dust reached Dome C? Well model and surface obs in DC agree very well Model runs Work available in Gassó et al., ACPD Obs

29 Wrapping up.. Data sets that might be useful for this group. 1. Visibility records from Patagonia stations along the coast. Available since 1950 s. Useful for comparisons of recent dust deposition in Antarctica. 2. A daily record of dust activity satellite observations of Patagonia (and most of Argentina) since Useful for case study characterization, transport studies.

AEROSOL. model vs data. ECWMF vs AERONET. mid-visible optical depth of aerosol > 1 m diameter. S. Kinne. Max Planck Institute Hamburg, Germany

AEROSOL. model vs data. ECWMF vs AERONET. mid-visible optical depth of aerosol > 1 m diameter. S. Kinne. Max Planck Institute Hamburg, Germany AEROSOL model vs data ECWMF vs AERONET mid-visible optical depth of aerosol > 1 m diameter Max Planck Institute Hamburg, Germany S. Kinne Overview data-sets ECMWF simulations aerosol quality data reference